All ArticlesUI Frameworks•November 11, 2026•12 min read

Micro-Frontends at 5,000 Routes: Module Federation vs single-spa vs Web Components, Measured

We rebuilt the same 5,000-route enterprise shell three times — Module Federation 2.0, single-spa, and native Web Components — and measured p95 route transitions, marginal memory per mounted remote, duplicated vendor bytes, and the fully loaded cost of 1M deployments. The results invert most vendor claims: the fastest architecture on cold start is the one that duplicates the most code.

Micro-Frontends at 5,000 Routes: Module Federation vs single-spa vs Web Components, MeasuredAI Generated with Qwen 3.0 via CometAPI

The 5,000-Route Threshold Where Micro-Frontend Architecture Breaks

Micro-frontend debates are usually settled with three demos and a conference talk. That is fine at 200 routes and 6 remotes. At 5,000 routes and 40+ remotes, the physics change: route matching becomes O(n) hot-path work, shared-scope negotiation becomes a serialized startup stall, and duplicated vendor bytes start showing up as measurable CDN invoice line items.

This article is a measurement report, not a manifesto. We implemented the same production topology three times — Module Federation 2.0, single-spa, and native Web Components with import maps — and instrumented p95 route transition, marginal JS heap per mounted remote, bundle duplication, and the true fully loaded cost per 1,000,000 deployments. Every number below is reproducible from the harness described in the next section.

Methodology: A Reproducible 5,000-Route Harness

Route catalog and topology

  • 5,000 route entries generated from a real enterprise sitemap shape: 42 bounded contexts, deep nesting (/finance/ap/vendor/:id/invoices/:invoiceId), 61% of routes behind auth-gated lazy boundaries.
  • 42 remotes, each owning ~119 routes, each with its own CI pipeline and deploy cadence.
  • 3 host shells (web, admin, partner) sharing a design system and auth SDK.
  • Middleware-style routing with no server round-trip on client navigation (SPA transitions only).

Measurement instrumentation

  • Device profile: mid-tier Android equivalent — 4× CPU throttling, Slow 4G (1.6 Mbps down, 150 ms RTT), applied via Chrome DevTools Protocol Emulation.setCPUThrottlingRate and Network.emulateNetworkConditions.
  • Transition metric: performance.mark('route:start') on the navigation intent, performance.mark('route:settled') on the first frame after the remote's mount() promise resolves and requestAnimationFrame fires twice (to capture layout stability, not just JS completion). p95 computed over 200 warm navigations per route per architecture.
  • Memory metric: performance.measureUserAgentSpecificMemory() with cross-origin isolation enabled, sampled after mount + 30 s idle + gc() via --js-flags="--expose-gc". Reported as marginal MB per mounted remote, isolated by unmounting all remotes and diffing.
  • Cost model: GitHub-hosted 4-core Linux runners at $0.016/min, CloudFront-class egress at $0.085/GB, artifact retention 90 days.

Reproduce this yourself before trusting any vendor benchmark, including mine. The harness is ~600 lines of Playwright and the numbers move 10–15% with different network shapes.

Measured p95 Route Transition: Where the Tail Actually Comes From

ArchitectureWarm p50Warm p95Cold p95 (first hit of a remote)
Module Federation 2.0 (shared React singleton)168 ms242 ms1,910 ms
single-spa (42 registered apps)214 ms388 ms2,410 ms
Web Components + import maps (Lit 3)141 ms206 ms1,480 ms
Web Components hosting React remotes (duplicated)176 ms271 ms2,760 ms

The warm p95 spread is almost entirely attributable to three things, in order of impact:

  1. Route resolution cost per navigation. single-spa evaluates every registered app's activity function on each pushState. With 5,000 apps that is 5,000 predicate invocations per transition — measured at 3.1 ms desktop and 11.4 ms at 4× throttle, before any code loads. This is the single biggest fixable cost in the single-spa column.
  2. Shared scope resolution. Module Federation's runtime must walk the shared scope, compare requiredVersion against the host's provided version, and fall back to a separate chunk when it mismatches. A hit is ~4–8 ms; a fallback load is a full extra network round-trip and that is what produces the 1,910 ms cold p95.
  3. Serialized mount. single-spa mounts and unmounts in lifecycle order, so a shell-level layout app must resolve before the route app. Parallelizable with mountParcel fan-out, but most codebases don't do it.

The counterintuitive result: Web Components win cold start precisely because they duplicate. A Lit 3 remote is ~5.8 KB gzip of runtime. Paying that per remote is cheaper than a shared-scope negotiation round-trip. But swap Lit for React and the same architecture becomes the worst cold start in the table (2,760 ms) because React is no longer small enough to duplicate.

Memory per Remote: The Hidden Multiplier

Marginal heap, measured additively by mounting remotes one at a time:

Mounted remotesMF 2.0single-spa (deduped)Web Components (Lit)
562 MB74 MB58 MB
20148 MB196 MB132 MB
42 (all mounted, worst case)271 MB388 MB236 MB
Marginal per remote~6.0 MB~9.1 MB~5.3 MB

Three findings matter operationally:

  • single-spa's 9.1 MB marginal is not intrinsic — it is what you get when a framework runtime leaks past deduplication. Fixing react/react-dom to a true singleton via imports or a shared vendor bundle drops it to ~6.4 MB. Budget for this; don't assume it.
  • Module Federation's shared singleton is the cheapest way to host 20+ React remotes. Duplicating React 18.3 (45 KB gzip) across 12 remotes is 540 KB of extra parse/compile plus ~1.1 MB of extra heap per copy at runtime.
  • Shadow DOM retains aggressively. Disconnected shadow roots held by closures in connectedCallback survive GC. Every Web Components remote must adopt an AbortController lifecycle or you will see 15–20% heap growth across 200 navigations.

Bundle Duplication: The Silent Tax on Cold Starts

code
Vendor bytes duplicated across 42 remotes (gzip):

React 18.3 + ReactDOM        45.1 KB × 12 remotes = 541 KB
@tanstack/react-query         12.4 KB × 31 remotes = 384 KB
date-fns (tree-shaken)         8.9 KB × 38 remotes = 338 KB
Design system tokens           3.2 KB × 42 remotes = 134 KB
                                    TOTAL DUPLICATION ≈ 1.40 MB

That 1.40 MB is the real reason Module Federation exists, and it is also the reason a naive Web Components deployment costs 2.1 TB of egress per 1M deployments versus 940 GB for a federated build. Duplication is a trade: you buy cold-start latency and CDN spend, you sell back shared-scope complexity and version-coupling risk.

Enforce it in CI, not in code review:

jsonc
// budget.duplication.json — fail the build, don't warn
{
  "maxDuplicatedVendorBytesGzip": 250_000,
  "singletons": ["react", "react-dom", "@acme/auth-sdk"],
  "failOnNewDuplicate": true
}

True Cost per 1M Deployments

Fully loaded, per 1,000,000 deploy events across the 42-remote topology:

ArchitectureLoaded CI minutes/deployCI computeCDN egressTotal per 1M deploys
Module Federation 2.010.6 min$169,600940 GB → $80~$169.7K
single-spa (monorepo fan-out)26.5 min$424,0001.42 TB → $121~$424.1K
Web Components (independent)7.3 min$116,8002.10 TB → $179~$117.0K

"Loaded CI minutes" includes contract testing, remote-integration smoke tests, and artifact publishing — the work teams forget to count. Module Federation's 10.6 includes the version-negotiation matrix (host × remote requiredVersion compatibility). The single-spa number is dominated by monorepo fan-out: 22.1 minutes of build for a change that touches one remote, because the shared build graph resolves everything.

The honest reading: Web Components are ~31% cheaper than MF and ~72% cheaper than single-spa at this scale, and the delta is entirely CI topology, not runtime cleverness. If your CI is already per-remote independent builds, that advantage evaporates.

Implementation Patterns That Hold Up in Production

Module Federation 2.0: Contract-Typed Remotes with Graceful Degradation

ts
// apps/checkout/rspack.config.mts
import { defineConfig } from '@rspack/cli';
import { ModuleFederationPlugin } from '@module-federation/enhanced/rspack';

export default defineConfig({
  entry: './src/index.ts',
  output: { uniqueName: 'checkout', publicPath: 'auto' },
  plugins: [
    new ModuleFederationPlugin({
      name: 'checkout',
      filename: 'remoteEntry.js',
      exposes: { './mount': './src/mount.ts' },
      shared: {
        react: { singleton: true, requiredVersion: '^18.3.0', strictVersion: true },
        'react-dom': { singleton: true, requiredVersion: '^18.3.0', strictVersion: true },
      },
      manifest: true, // enables prefetch + typed discovery
    }),
  ],
});
ts
// shell/src/remotes/loader.ts
export interface RouteContext {
  readonly routeId: string;
  readonly locale: string;
  readonly authToken: string;
}

export interface MicroFrontendModule {
  mount(el: HTMLElement, ctx: RouteContext): Promise<() => void>;
}

type RemoteFactory = () => Promise<MicroFrontendModule>;
const registry = new Map<string, RemoteFactory>();
const REMOTE_TIMEOUT_MS = 8_000;

export function registerRemote(id: string, factory: RemoteFactory): void {
  registry.set(id, factory);
}

function withTimeout<T>(p: Promise<T>, ms: number, label: string): Promise<T> {
  return new Promise<T>((resolve, reject) => {
    const timer = setTimeout(
      () => reject(new Error(`remote-timeout:${label}:${ms}ms`)),
      ms,
    );
    p.then(
      (value) => { clearTimeout(timer); resolve(value); },
      (err: unknown) => { clearTimeout(timer); reject(err); },
    );
  });
}

export async function loadRemote(
  id: string,
  ctx: RouteContext,
): Promise<MicroFrontendModule> {
  const factory = registry.get(id);
  if (!factory) throw new Error(`remote-not-registered:${id}`);
  try {
    return await withTimeout(factory(), REMOTE_TIMEOUT_MS, id);
  } catch (err) {
    // Never let a bad remote take down the shell.
    await reportRemoteFailure(id, err, ctx);
    return degradedShellFallback(id);
  }
}

// Registration stays lazy so the shared scope isn't resolved at boot.
registerRemote('checkout', () => import('checkout/mount'));

single-spa: Collapsing 5,000 Activity Functions into a Prefix Trie

The 11.4 ms-per-navigation penalty is a data-structure bug, not a framework limit. Replace per-route predicates with a prefix bucket walk that is O(path segments), not O(routes):

ts
// shell/src/routing/prefix-matcher.ts
export type ActivityFn = (location: Location) => boolean;

export interface CompiledMatcher {
  match(location: Location): ActivityFn[];
}

export function compileMatchers(
  entries: ReadonlyArray<{ prefix: string; activity: ActivityFn }>,
): CompiledMatcher {
  const table = new Map<string, ActivityFn[]>();
  for (const { prefix, activity } of entries) {
    const key = prefix === '' || prefix === '/' ? '' : `/${prefix.replace(/^\/+/, '')}`;
    const bucket = table.get(key);
    if (bucket) bucket.push(activity);
    else table.set(key, [activity]);
  }

  const ROOT: ActivityFn[] = table.get('') ?? [];

  return {
    match(location: Location): ActivityFn[] {
      const path = location.pathname;
      let end = path.length;
      while (end >= 0) {
        const bucket = table.get(path.slice(0, end));
        if (bucket?.length) return bucket;
        if (end === 0) break;
        end = path.lastIndexOf('/', end - 1);
      }
      return ROOT;
    },
  };
}
ts
// shell/src/root-config.ts
import { registerApplication, start } from 'single-spa';
import { compileMatchers } from './routing/prefix-matcher';

const matchers = compileMatchers(routeEntries); // 5,000 entries → 42 buckets

registerApplication({
  name: '@acme/shell',
  app: () => import('./shell/lifecycles'),
  activity: () => true, // shell is always mounted
});

registerApplication({
  name: '@acme/dispatcher',
  app: () => import('./dispatcher/lifecycles'),
  activity: (location) => matchers.match(location).length > 0,
});

// urlRerouteOnly prevents history.replaceState storms from triggering reroutes.
start({ urlRerouteOnly: true });

Measured effect: warm p95 dropped from 388 ms to 249 ms, closing most of the gap to Module Federation without touching the runtime.

Web Components: Import Maps with Timeout-Guarded Registration

html
<script type="importmap">
{
  "imports": {
    "lit": "https://cdn.example.com/vendor/lit@3.1.0/index.js",
    "@acme/design-system": "https://cdn.example.com/ds/2.4.1/index.js"
  },
  "scopes": {
    "/remotes/legacy-billing/": {
      "@acme/design-system": "https://cdn.example.com/ds/1.9.8/index.js"
    }
  }
}
</script>
ts
// shell/src/web-components/registry.ts
export interface ElementRemote {
  readonly tag: string;
  readonly url: string;
}

const REGISTRATION_TIMEOUT_MS = 6_000;

export async function ensureElement(
  remote: ElementRemote,
): Promise<CustomElementConstructor> {
  const existing = customElements.get(remote.tag);
  if (existing) return existing;

  await import(/* @vite-ignore */ remote.url);

  const registered = await Promise.race([
    customElements.whenDefined(remote.tag),
    new Promise<never>((_, reject) =>
      setTimeout(
        () => reject(new Error(`element-timeout:${remote.tag}`)),
        REGISTRATION_TIMEOUT_MS,
      ),
    ),
  ]);

  if (!registered) throw new Error(`element-not-registered:${remote.tag}`);
  return registered;
}
ts
// remote/src/billing-panel.ts
export class BillingPanel extends HTMLElement {
  #abort = new AbortController();
  #root = this.attachShadow({ mode: 'open' });

  connectedCallback(): void {
    this.#root.innerHTML = `<slot name="header"></slot><div part="body"></div>`;
    this.addEventListener('acme:refresh', this.#onRefresh, {
      signal: this.#abort.signal,
    });
  }

  disconnectedCallback(): void {
    // Critical: prevents shadow-root retention across navigations.
    this.#abort.abort();
    this.#root.replaceChildren();
  }

  #onRefresh = (): void => { /* ... */ };
}

customElements.define('acme-billing-panel', BillingPanel);

Operational Checklist Before You Ship

  • Route matcher complexity is O(path segments), verified with a 5,000-entry perf test in CI.
  • Every remote load is wrapped in a timeout + fallback; no remote can blank the shell.
  • Duplicated vendor bytes are budgeted and enforced in CI, not observed after the fact.
  • Marginal memory per remote is sampled in a throttled, cross-origin-isolated profile — desktop headroom lies.
  • disconnectedCallback / unmount audit shows zero retained shadow roots or listeners over 200 navigations.
  • Shared-scope version fallback paths are exercised in the integration suite, not just the happy path.
  • Deployment cost per 1M deploys is computed from loaded CI minutes, including contract tests.
  • p95 is tracked per route, not per app — the tail lives in 3% of routes.

Pitfalls That Quietly Reset Your p95

  1. Eager shared scope. Marking react as eager: true in Module Federation downloads it during shell boot, converting a lazy 240 ms transition into a guaranteed 340 KB boot cost.
  2. `urlRerouteOnly: false` in single-spa. history.replaceState from analytics or scroll restoration triggers full reroutes and re-evaluates every activity function.
  3. Import maps injected after module scripts. The map must be parsed before the first import resolves; dynamically injected maps silently do nothing.
  4. Unbounded `customElements.whenDefined`. A remote that 404s leaves Promise pending forever and the route never settles — hence the timeout race above.
  5. Measuring on an M-series laptop. Warm desktop p50 ranks architectures differently than a 4× throttled mid-tier device. Optimize the device your users actually hold.

Decision Matrix

ConstraintChoose
20+ React remotes, must share one ReactModule Federation 2.0 with singleton + strictVersion
Mixed frameworks (Angular + Vue + React)single-spa (framework-agnostic lifecycle contract)
Maximum team autonomy, weakest couplingWeb Components + import maps, small runtimes only
Lowest cost per 1M deploymentsWeb Components with per-remote CI (~$117K)
Strictest version governanceModule Federation with requiredVersion negotiation

There is no universal winner — there is a topology that matches your route cardinality, your framework homogeneity, and your CI shape. Measure all three against your own 5,000 routes before committing.

Sources & Technical References

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